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» Combinations of Weak Classifiers
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ICMLC
2010
Springer
13 years 6 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong
ICDAR
2009
IEEE
13 years 6 months ago
Separate Chinese Character and English Character by Cascade Classifier and Feature Selection
The separation of Chinese character and English character is helpful for OCR technique. In this paper, a multi-level cascade classifier combined with feature selection is construc...
Yuanping Zhu, Jun Sun 0004, Akihiro Minagawa, Yosh...
HPCA
2004
IEEE
14 years 9 months ago
Perceptron-Based Branch Confidence Estimation
Pipeline gating has been proposed for reducing wasted speculative execution due to branch mispredictions. As processors become deeper or wider, pipeline gating becomes more import...
Haitham Akkary, Srikanth T. Srinivasan, Rajendar K...
TRS
2008
13 years 8 months ago
The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
A popular view is that the brain works in a similar way to a digital computer or a Universal Turing Machine by processing symbols. Psychophysical experiments and our amazing capabi...
Andrzej W. Przybyszewski
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
14 years 13 days ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre